diff --git a/misc/03_IDC.ipynb b/misc/03_IDC.ipynb
index c7983c0..df5524e 100644
--- a/misc/03_IDC.ipynb
+++ b/misc/03_IDC.ipynb
@@ -18,12 +18,12 @@
    "id": "32426b43",
    "metadata": {},
    "source": [
-    "We are going to implement a **RBS** for a **Invasive Ductal Carcinoma** (**IDC**) using the **QRBS**. The rules for this kind of system can be shown in the following diagram:\n",
+    "We are going to implement a **RBS** for a **Invasive Ductal Carcinoma** (**IDC**) using the **QRBS**. The rules for this kind of system can be shown in the following diagram where the different input symptoms are presented.\n",
     "\n",
     "![image.png](attachment:image.png)\n",
     "\n",
+    "Depending on the combination of symptoms a compatible TMN classification can arise. Based on this TMN classification the following **IDC** stages can be identified.\n",
     "\n",
-    "Given these inputs the following **IDC** stages can be identified:\n",
     "\n",
     "| IDC-Stage | Compatible TNM classification                        |\n",
     "|-----------|------------------------------------------------------|\n",
@@ -92,7 +92,7 @@
     "# List with the strings that should be provided for an ideal QPU\n",
     "ideal_qpus = [\"c\", \"python\", \"linalg\", \"mps\", \"qlmass_linalg\", \"qlmass_mps\"]\n",
     "qpu_config_c = {\n",
-    "    \"qpu_type\": ideal_qpus[2], \n",
+    "    \"qpu_type\": ideal_qpus[4], \n",
     "}\n",
     "qpu = select_qpu(qpu_config_c)"
    ]
@@ -115,7 +115,10 @@
    "id": "cd8bb1a2",
    "metadata": {},
    "source": [
-    "## 1. IDC using QRBS\n"
+    "## 1. IDC using QRBS\n",
+    "\n",
+    "\n",
+    "The following function, **idc_qrbs**, implements the IDC using the **QRBS** software."
    ]
   },
   {
@@ -238,6 +241,14 @@
     "    return pdf"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "682ca639",
+   "metadata": {},
+   "source": [
+    "The input symptoms will be categorical variables.  The possible combination for *T* (related tumour), *N* (related lymphatic or auxiliary nodes) and *M* (linked to metastasis) symptoms will be created."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -269,56 +280,128 @@
     "idc_df"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "f90f324a",
+   "metadata": {},
+   "source": [
+    "## 2. Testing IDC\n",
+    "\n",
+    "In the following cell, the code for testing each possible staging is developed."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d1934ddb",
+   "metadata": {},
+   "source": [
+    "### 2.1 Stage I-A\n",
+    "\n",
+    "Only classification **T1/N0/M1** gives this stage"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "50c4523d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Selecting the inputs that provides a Stage I-A\n",
+    "stage_1_a = (idc_df[\"T1\"] ==1) & ((idc_df[\"N0A\"] ==1) |(idc_df[\"N0B\"] ==1)) & (idc_df[\"M0\"] ==1.0)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "f4b182b5",
+   "id": "cb6e86f4",
    "metadata": {
-    "scrolled": true,
     "tags": []
    },
    "outputs": [],
    "source": [
-    "#Stage I-A\n",
-    "stage_1_a = (idc_df[\"T1\"] ==1) & ((idc_df[\"N0A\"] ==1) |(idc_df[\"N0B\"] ==1)) & (idc_df[\"M0\"] ==1.0)\n",
-    "\n",
     "step = idc_df[stage_1_a]\n",
-    "print(step)\n",
     "\n",
-    "pdf_stage_1_a = pd.concat([idc_qrbs(row[1], qpu_selected, type_qpu = qpu, shots=100) for row in step.iterrows()])"
+    "pdf_stage_1_a = pd.concat([idc_qrbs(row[1], qpu_selected, type_qpu = qpu, shots=100) for row in step.iterrows()])\n",
+    "pdf_stage_1_a.reset_index(drop=True, inplace=True)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4b91285f",
-   "metadata": {
-    "tags": []
-   },
+   "id": "2b00c95d",
+   "metadata": {},
    "outputs": [],
    "source": [
-    "pdf_stage_1_a"
+    "pdf_stage_1_a.index = [\"T1/N0A/M0\", \"T1/N0B/M0\"]"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7cb0393c",
-   "metadata": {
-    "tags": []
+   "id": "e6475536",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pdf_stage_1_a"
+   ]
+  },
+  {
+   "attachments": {
+    "image.png": {
+     "image/png": "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"
+    }
    },
+   "cell_type": "markdown",
+   "id": "5dcf567d",
+   "metadata": {},
+   "source": [
+    "#### Results: Stage I-A: T1 N0 M0\n",
+    "\n",
+    "The staging for **T1N0M0** should be **Stage IA**. The Figure presents the output precision for all the stages for all possible **T1N0M0** (*T1/N0A/M0* and *T1/N0B/M0*)\n",
+    "\n",
+    "![image.png](attachment:image.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c7ebe435",
+   "metadata": {},
+   "source": [
+    "### 2.2 Stage I-B\n",
+    "\n",
+    "Classification **T0N1M0** and **T1/N1/M0** provide the **Stage I-B** but they can give to classification **Stage II-A**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d54657d8",
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Stage I-B (II-A)\n",
     "stage_1_b = (\n",
     "    ((idc_df[\"T0\"] ==1) & ((idc_df[\"N1A\"] ==1) |(idc_df[\"N1B\"] ==1)) & (idc_df[\"M0\"] ==1.0)) |\n",
     "    ((idc_df[\"T1\"] ==1) & ((idc_df[\"N1A\"] ==1) |(idc_df[\"N1B\"] ==1)) & (idc_df[\"M0\"] ==1.0))\n",
-    ")\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7cb0393c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
     "step = idc_df[stage_1_b] \n",
     "print(step)\n",
     "\n",
     "pdf_stage_1_b = pd.concat(\n",
-    "    [idc_qrbs(row[1], qpu_selected, type_qpu = qpu, shots=100) for row in step.iterrows()])"
+    "    [idc_qrbs(row[1], qpu_selected, type_qpu = qpu, shots=100) for row in step.iterrows()])\n",
+    "pdf_stage_1_b.reset_index(drop=True, inplace=True)"
    ]
   },
   {
@@ -330,26 +413,72 @@
    },
    "outputs": [],
    "source": [
-    "pdf_stage_1_b"
+    "pdf_stage_1_b.index = [\"T0/N1A/M0\", \"T0/N1B/M0\",\"T1/N1A/M0\", \"T1/N1B/M0\"]"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "71253c0c",
-   "metadata": {
-    "tags": []
+   "id": "4301a7f0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pdf_stage_1_b"
+   ]
+  },
+  {
+   "attachments": {
+    "image.png": {
+     "image/png": "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"
+    }
    },
+   "cell_type": "markdown",
+   "id": "1a3e6d7f",
+   "metadata": {},
+   "source": [
+    "#### Results: Stage I-B: T0 N1 M0 / T1 N1 M0\n",
+    "\n",
+    "The staging for **T0N1M0** and **T1/N1/M0** can be **Stage I-B** or **Stage II-A**. The Figure presents the output precision for all the stages for all possible **T0N1M0** and **T1/N1/M0** (*T0/N1A/M0*, *T0/N1B/M0*, *T1/N1A/M0*, *T1/N1B/M0*)\n",
+    "\n",
+    "![image.png](attachment:image.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bf1f501d",
+   "metadata": {},
+   "source": [
+    "### 2.3 Stage II-A\n",
+    "\n",
+    "Classifications **T0N1M0**, **T1N1M0** and **T2N0M0** can provide a **Stage IIA** but **T0N1M0**, **T1N1M0** can provide a **Stage I-B** and **T2N0M0** can provided a **Stage III-A** too.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8fc0e484",
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Stage II-A (or I-B)\n",
+    "# Stage II-A (or III-A)\n",
     "\n",
     "stage_2_a = (\n",
     "    ((idc_df[\"T0\"] ==1) & ((idc_df[\"N1A\"] ==1) |(idc_df[\"N1B\"] ==1)) & (idc_df[\"M0\"] ==1.0)) |\n",
     "    ((idc_df[\"T1\"] ==1) & ((idc_df[\"N1A\"] ==1) |(idc_df[\"N1B\"] ==1)) & (idc_df[\"M0\"] ==1.0)) |\n",
     "    ((idc_df[\"T2\"] ==1) & ((idc_df[\"N0A\"] ==1) |(idc_df[\"N0B\"] ==1)) & (idc_df[\"M0\"] ==1.0)) \n",
-    ")\n",
-    "\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "71253c0c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
     "step = idc_df[stage_2_a]\n",
     "print(step)\n",
     "pdf_stage_2_a = pd.concat(\n",
@@ -365,16 +494,54 @@
    },
    "outputs": [],
    "source": [
-    "pdf_stage_2_a"
+    "pdf_stage_2_a.index= [\"T0/N1A/M0\", \"T0/N1B/M0\", \"T1/N1A/M0\", \"T1/N1B/M0\", \"T2/N0A/M0\", \"T2/N0B/M0\"]"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "a04c9023",
-   "metadata": {
-    "tags": []
+   "id": "464f54fa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pdf_stage_2_a"
+   ]
+  },
+  {
+   "attachments": {
+    "image.png": {
+     "image/png": "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"
+    }
    },
+   "cell_type": "markdown",
+   "id": "09210c01",
+   "metadata": {},
+   "source": [
+    "#### Results: Stage II-A: T0 N1 M0 / T1 N1 M0 / T2 N0 M0\n",
+    "\n",
+    "The staging for **T0N1M0**, **T1N1M0** can be **Stage I-B** or **Stage IIA** and for **T2N0M0** can be **Stage II-A** or **Stage III-A**.\n",
+    "\n",
+    "The Figure presents the output precision for all the stages for all possible **T0N1M0**, **T1N1M0** (*T0/N1A/M0*, *T0/N1B/M0*, *T1/N1A/M0*, *T1/N1B/M0*) and for **T2N0M0** (*T2/N0A/M0*, *T2/N0B/M0*)\n",
+    "\n",
+    "\n",
+    "![image.png](attachment:image.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c7217c96",
+   "metadata": {},
+   "source": [
+    "### 2.4 Stage II-B\n",
+    "\n",
+    "Classifications **T2N1M0** and **T3N0M0** are **Stage II-B**\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8415566c",
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Stage II-B\n",
@@ -382,7 +549,18 @@
     "stage_2_b = (\n",
     "    ((idc_df[\"T2\"] ==1) & ((idc_df[\"N1A\"] ==1) |(idc_df[\"N1B\"] ==1)) & (idc_df[\"M0\"] ==1.0)) |\n",
     "    ((idc_df[\"T3\"] ==1) & ((idc_df[\"N0A\"] ==1) |(idc_df[\"N0B\"] ==1)) & (idc_df[\"M0\"] ==1.0)) \n",
-    ")\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a04c9023",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
     "step = idc_df[stage_2_b]\n",
     "print(step)\n",
     "pdf_stage_2_b = pd.concat(\n",
@@ -397,6 +575,16 @@
     "tags": []
    },
    "outputs": [],
+   "source": [
+    "pdf_stage_2_b.index = [\"T2/N1A/M0\", \"T2/N1B/M0\", \"T3/N0A/M0\", \"T3/N0B/M0\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5d62d011",
+   "metadata": {},
+   "outputs": [],
    "source": [
     "pdf_stage_2_b"
    ]
@@ -404,10 +592,59 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "b0c93206",
-   "metadata": {
-    "tags": []
+   "id": "0ad5595e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pdf_stage_2_b.to_csv(\"pdf_stage_2_b.csv\", sep=\";\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bb182a88",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig = px.imshow(pdf_stage_2_b, range_color=(0,1))\n",
+    "fig.show()"
+   ]
+  },
+  {
+   "attachments": {
+    "image.png": {
+     "image/png": "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"
+    }
    },
+   "cell_type": "markdown",
+   "id": "4ab50937",
+   "metadata": {},
+   "source": [
+    "#### Results: Stage II-B: T2 N1 M0 / T3 N0 M0\n",
+    "\n",
+    "The staging for **T2N1M0** and **T3N0M0** are **Stage II-B**. \n",
+    "\n",
+    "The Figure presents the output precision for all the stages for all possible **T2N1M0** and **T3N0M0** (*T2/N1A/M0*, *T2/N1B/M0*, *T3/N0A/M0*, *T3/N0B/M0*)\n",
+    "\n",
+    "\n",
+    "![image.png](attachment:image.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "47f056a6",
+   "metadata": {},
+   "source": [
+    "### 2.4 Stage III-A\n",
+    "\n",
+    "Classification for **T0N2M0**, **T1N2M0**, **T3N1M0** and **T3N2M0** are **Stage III-A**. For **T2N0M0** the solution can be **Stage III-A** or **Stage II-A**\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6b27f940",
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Stage III-A\n",
@@ -418,8 +655,19 @@
     "    ((idc_df[\"T2\"] ==1) & ((idc_df[\"N0A\"] ==1) |(idc_df[\"N0B\"] ==1)) & (idc_df[\"M0\"] ==1.0)) |\n",
     "    ((idc_df[\"T3\"] ==1) & ((idc_df[\"N2A\"] ==1) |(idc_df[\"N2B\"] ==1)) & (idc_df[\"M0\"] ==1.0)) |\n",
     "    ((idc_df[\"T3\"] ==1) & ((idc_df[\"N1A\"] ==1) |(idc_df[\"N1B\"] ==1)) & (idc_df[\"M0\"] ==1.0))\n",
-    ")\n",
-    "\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b0c93206",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
     "step = idc_df[stage_3_a]\n",
     "print(step)\n",
     "pdf_stage_3_a = pd.concat(\n",
@@ -435,17 +683,60 @@
    },
    "outputs": [],
    "source": [
-    "pdf_stage_3_a"
+    "indices = [\n",
+    "    \"T0/N2A/M0\", \"T0/N2B/M0\", \"T1/N2A/M0\", \"T1/N2B/M0\", \n",
+    "    \"T2/N0A/M0\",\"T2/N0B/M0\", \"T3/N1A/M0\",\"T3/N1B/M0\",\n",
+    "    \"T3/N2A/M0\", \"T3/N2B/M0\"\n",
+    "]\n",
+    "\n",
+    "pdf_stage_3_a.index = indices"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "edcfb069",
-   "metadata": {
-    "scrolled": true,
-    "tags": []
+   "id": "fa8daf42",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pdf_stage_3_a"
+   ]
+  },
+  {
+   "attachments": {
+    "image.png": {
+     "image/png": "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"
+    }
    },
+   "cell_type": "markdown",
+   "id": "0b836a68",
+   "metadata": {},
+   "source": [
+    "#### Results: Stage III-A: T0 N2 M0 / T1 N2 M0 / T2 N0 M0 / T3 N2 M0 / T3 N1 M0\n",
+    "\n",
+    "The staging for **T0N2M0**, **T1N2M0**, **T3N1M0** and **T3N2M0** is **Stage III-A** and for **T2N0M0** can be **Stage III-A** or **Stage II-A**.\n",
+    "\n",
+    "The Figure presents the output precision for all the stages for all possible \n",
+    "**T0N2M0**, **T1N2M0**, **T3N1M0** and **T3N2M0** (*T0/N2A/M0*, *T0/N2B/M0*, *T1/N2A/M0*, *T1/N2B/M0*, *T3/N1A/M0*, *T3/N1B/M0*, *T3/N2A/M0*, *T3/N2B/M0*) and for all possible **T2N0M0** (*T2/N0A/M0*,*T2/N0B/M0*)\n",
+    "\n",
+    "![image.png](attachment:image.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1dd48457",
+   "metadata": {},
+   "source": [
+    "### 2.5 Stage III-B\n",
+    "\n",
+    "Classification for **T4N0M0**, **T4N1M0** and **T4N2M0** is **Stage III-B**.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a94cded0",
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Stage III-B\n",
@@ -454,7 +745,19 @@
     "    ((idc_df[\"T4\"] ==1) & ((idc_df[\"N0A\"] ==1) |(idc_df[\"N0B\"] ==1)) & (idc_df[\"M0\"] ==1.0)) |\n",
     "    ((idc_df[\"T4\"] ==1) & ((idc_df[\"N1A\"] ==1) |(idc_df[\"N1B\"] ==1)) & (idc_df[\"M0\"] ==1.0)) |\n",
     "    ((idc_df[\"T4\"] ==1) & ((idc_df[\"N2A\"] ==1) |(idc_df[\"N2B\"] ==1)) & (idc_df[\"M0\"] ==1.0))\n",
-    ")\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "edcfb069",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
     "step = idc_df[stage_3_b]\n",
     "print(step)\n",
     "pdf_stage_3_b = pd.concat(\n",
@@ -470,23 +773,74 @@
    },
    "outputs": [],
    "source": [
-    "pdf_stage_3_b"
+    "pdf_stage_3_b.index = [\"T4/N0A/M0\", \"T4/N0B/M0\", \"T4/N1A/M0\", \"T4/N1B/M0\", \"T4/N2A/M0\", \"T4/N2B/M0\"]"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5c01b23b",
-   "metadata": {
-    "tags": []
+   "id": "e458261a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pdf_stage_3_b"
+   ]
+  },
+  {
+   "attachments": {
+    "image.png": {
+     "image/png": "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"
+    }
    },
+   "cell_type": "markdown",
+   "id": "03fe8d0a",
+   "metadata": {},
+   "source": [
+    "#### Results: Stage III-B: T4 N0 M0 / T4 N1 M0 / T4 N2 M0\n",
+    "\n",
+    "The staging for **T4N0M0**, **T4N1M0** and **T4N2M0** is **Stage III-B**.\n",
+    "\n",
+    "\n",
+    "The Figure presents the output precision for all the stages for all possible **T4N0M0**, **T4N1M0** and **T4N2M0** (*T4/N0A/M0*, *T4/N0B/M0*, *T4/N1A/M0*, *T4/N1B/M0*, *T4/N2A/M0*, *T4/N2B/M0*)\n",
+    "\n",
+    "\n",
+    "\n",
+    "![image.png](attachment:image.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "50cfbc52",
+   "metadata": {},
+   "source": [
+    "### 2.6 Stage III-C\n",
+    "\n",
+    "Classification for **TXN3M0** is **Stage III-C**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5709b1c2",
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Stage III-C\n",
     "stage_3_c = (\n",
     "    ((idc_df[\"N3A\"] == 1) | (idc_df[\"N3B\"] == 1) | (idc_df[\"N3C\"] == 1)) &\n",
     "    (idc_df[\"M0\"] == 1)\n",
-    ")\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5c01b23b",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
     "step = idc_df[stage_3_c]\n",
     "print(step)\n",
     "pdf_stage_3_c = pd.concat(\n",
@@ -496,15 +850,65 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2727eaaa",
-   "metadata": {
-    "tags": []
-   },
+   "id": "aad99411",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pdf_stage_3_c.index = [\"T\"+str(i)+j+\"M0\" for i in range(0,5) for j in [\"N3A\", \"N3B\",\"N3C\"]]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ab7bd372",
+   "metadata": {},
    "outputs": [],
    "source": [
     "pdf_stage_3_c"
    ]
   },
+  {
+   "attachments": {
+    "image.png": {
+     "image/png": "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"
+    }
+   },
+   "cell_type": "markdown",
+   "id": "5e51b077",
+   "metadata": {},
+   "source": [
+    "#### Results: Stage III-C: TX N3 M0\n",
+    "\n",
+    "The staging for **TXN3M0**  is **Stage III-C**.\n",
+    "\n",
+    "The Figure presents the output precision for all the stages for all possible **TXN3M0** (*T0N3AM0*, *T0N3BM0*, *T0N3CM0*, *T1N3AM0*, *T1N3BM0*, *T1N3CM0*, *T2N3AM0*, *T2N3BM0*, *T2N3CM0*, *T3N3AM0*, *T3N3BM0*, *T3N3CM0*, *T4N3AM0*, *T4N3BM0*, *T4N3CM0*)\n",
+    "\n",
+    "![image.png](attachment:image.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b10c714e",
+   "metadata": {},
+   "source": [
+    "### 2.7 Stage IV\n",
+    "\n",
+    "Classification for **TXNYM1** is **Stage IV**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e13797ca",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Stage IV\n",
+    "stage_4 = (\n",
+    "    idc_df[\"M1\"] == 1\n",
+    ")"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -514,11 +918,6 @@
    },
    "outputs": [],
    "source": [
-    "# Stage IV\n",
-    "\n",
-    "stage_4 = (\n",
-    "    idc_df[\"M1\"] == 1\n",
-    ")\n",
     "step = idc_df[stage_4]\n",
     "print(step)\n",
     "pdf_stage_4 = pd.concat(\n",
@@ -528,10 +927,19 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "620f1bda",
+   "id": "2d5d87ce",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pdf_stage_4.index = [i+j+\"M1\"for i in [\"T0\", \"T1\", \"T2\", \"T3\", \"T4\"] for j in [\"N0A\", \"N0B\", \"N1A\", \"N1B\", \"N2A\", \"N2B\", \"N3A\", \"N3B\", \"N3C\"]]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d8135df3",
    "metadata": {
-    "scrolled": true,
-    "tags": []
+    "scrolled": true
    },
    "outputs": [],
    "source": [
@@ -541,13 +949,74 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e321a384",
+   "id": "cf97ef75",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pdf_stage_4.to_csv(\"pdf_stage_4.csv\", sep=\";\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8832b49f",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "fig = px.imshow(pdf_stage_4, range_color=(0,1))\n",
+    "fig.show()"
+   ]
+  },
+  {
+   "attachments": {
+    "image.png": {
+     "image/png": "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"
+    }
+   },
+   "cell_type": "markdown",
+   "id": "f2da893c",
+   "metadata": {},
+   "source": [
+    "#### Results: Stage IV: TX NY M1\n",
+    "\n",
+    "The staging for **TXNYM1** is **Stage IV**\n",
+    "\n",
+    "The Figure presents the output precision for all the stages for all possible **TXNYM1** \n",
+    "\n",
+    "![image.png](attachment:image.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ccde8e11",
+   "metadata": {},
+   "source": [
+    "### 2.8 No Staging\n",
+    "\n",
+    "Finally there some input symptoms that do not give place to a output stage.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "871f15ee",
    "metadata": {},
    "outputs": [],
    "source": [
     "no_stage = (\n",
     "    ~(stage_1_a | stage_1_b | stage_2_a | stage_2_b | stage_3_a | stage_3_b | stage_3_c | stage_4)\n",
-    ")\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e321a384",
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "step = idc_df[no_stage]\n",
     "print(step)\n",
     "pdf_no_stage = pd.concat(\n",
@@ -558,6 +1027,18 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "69372f2d",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "pdf_no_stage.index = [\"T0/N0A/M0\", \"T0/N0B/M0\", \"T2/N2A/M0\", \"T2/N2B/M0\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c3be88da",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -565,102 +1046,140 @@
    ]
   },
   {
-   "cell_type": "markdown",
-   "id": "eafa954e-c110-451d-887f-25dc60f66e77",
-   "metadata": {
-    "tags": []
+   "attachments": {
+    "image.png": {
+     "image/png": "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"
+    }
    },
+   "cell_type": "markdown",
+   "id": "d60705f0",
+   "metadata": {},
    "source": [
-    "## 3. QPU ruidosa"
+    "#### Results: No Stage\n",
+    "\n",
+    "The Following inputs *T0/N0A/M0*, *T0/N0B/M0*, *T2/N2A/M0*, *T2/N2B/M0* do not give any stage.\n",
+    "\n",
+    "The Figure presents the output precision for all the stages for *T0/N0A/M0*, *T0/N0B/M0*, *T2/N2A/M0*, *T2/N2B/M0*:\n",
+    "\n",
+    "![image.png](attachment:image.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "817896ec",
+   "metadata": {},
+   "source": [
+    "## 3. Imprecision in IDC\n",
+    "\n",
+    "Until now the input symptoms were used as categorical variables, so the practician is 100\\% sure about the value of the input. But this is not the real behaviour in real medicine. The doctor is not always sure about the symptoms and some probability can be assigned to them. \n",
+    "\n",
+    "The **QRBS** implementation of the IDC has the ability to propagate this imprecision in the inputs in a natural way and assign a final probability for the output staging (so stagings that will never appear when categorical inputs are used would have arisen if some imprecision is provided to the inputs).\n",
+    "\n",
+    "In the following cells, some imprecision is assigned arbitrarily (and without any medical knowledge) to show how the outputs precision obtained by the **QRBS** IDC are modified."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "1d42cb02-9fad-4c29-ae9e-05cf04a9c65d",
-   "metadata": {
-    "tags": []
-   },
+   "id": "7d1e53e0",
+   "metadata": {},
    "outputs": [],
    "source": [
-    "import json\n",
-    "from qpu.benchmark_utils import combination_for_list"
+    "t = [\n",
+    "    [0.3, 0.7, 0, 0, 0, 0],\n",
+    "    [0.0, 0.8, 0.2, 0, 0, 0],    \n",
+    "    [0.0, 0.0, 0.6, 0.4, 0, 0],    \n",
+    "]\n",
+    "\n",
+    "\n",
+    "n = [\n",
+    "    [0, 0.8, 0, 0, 0, 0, 0, 0, 0],\n",
+    "    [0, 0, 0.8, 0, 0.2, 0, 0, 0, 0],\n",
+    "    [0, 0, 0, 0, 0.7, 0, 0.3, 0, 0],    \n",
+    "]\n",
+    "\n",
+    "m = [[1, 0]]\n",
+    "\n",
+    "data = [list(it.chain.from_iterable(i)) for i in it.product(t, n, m)]"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "fd5f28fd-5c52-46a3-81d5-ac575aba8c55",
-   "metadata": {
-    "tags": []
-   },
+   "id": "d9d18b95",
+   "metadata": {},
    "outputs": [],
    "source": [
-    "with open(\"./qpu_noisy_stochastic.json\") as json_file:\n",
-    "    noisy_cfg = json.load(json_file)\n",
-    "qpu_list = combination_for_list(noisy_cfg)"
+    "data"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "81188e6d-e53d-4639-a823-8d3a0509eff8",
-   "metadata": {
-    "tags": []
-   },
+   "id": "315bf47b",
+   "metadata": {},
    "outputs": [],
    "source": [
-    "noisy_id = -1\n",
-    "noisy_qpu_cfg = qpu_list[noisy_id]\n",
-    "print(noisy_qpu_cfg)"
+    "columns = ['T0','T1','T2','T3','T4','T5','N0A','N0B','N1A','N1B','N2A','N2B','N3A','N3B','N3C','M0','M1']\n",
+    "idc_df = pd.DataFrame(data, columns=columns)\n",
+    "labels = [\n",
+    "    \"T0T1/N0/M0\", \"T0T1/N1N2/M0\", \"T0T1/N2N3/M0\", \n",
+    "    \"T1T2/N0/M0\", \"T1T2/N1N2/M0\", \"T1T2/N2N3/M0\",\n",
+    "    \"T2T3/N0/M0\", \"T2T3/N1N2/M0\", \"T2T3/N2N3/M0\",\n",
+    "]\n",
+    "idc_df[\"labels\"] = labels"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5f3e024d-ca94-4c76-ad39-ec1f015c7163",
-   "metadata": {
-    "tags": []
-   },
+   "id": "edda641c",
+   "metadata": {},
    "outputs": [],
    "source": [
-    "noisy_qpu = select_qpu(noisy_qpu_cfg)"
+    "stages = pd.concat(\n",
+    "    [idc_qrbs(row[1], qpu_selected, type_qpu = qpu, shots=0) \n",
+    "     for row in idc_df.iterrows()\n",
+    "    ]\n",
+    ")"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "12937fd1-0ab4-4718-bff9-850bd7fce24e",
-   "metadata": {
-    "tags": []
-   },
+   "id": "883d901d",
+   "metadata": {},
    "outputs": [],
    "source": [
-    "test_pdf = idc_df[stage_3_a]"
+    "stages.index = labels"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "67c36827-ae4d-41d5-8677-fd4fa0df7c0a",
-   "metadata": {
-    "tags": []
-   },
+   "id": "b5aca51a",
+   "metadata": {},
    "outputs": [],
    "source": [
-    "test_pdf.iloc[0]"
+    "stages"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8c1ce132-19c7-4ad4-b65e-8c609c4158db",
-   "metadata": {
-    "tags": []
+   "attachments": {
+    "image.png": {
+     "image/png": "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"
+    }
    },
-   "outputs": [],
+   "cell_type": "markdown",
+   "id": "462de8c3",
+   "metadata": {},
    "source": [
-    "idc_qrbs(test_pdf.iloc[0], qpu_selected, type_qpu = noisy_qpu, shots=100)"
+    "As can be seen in the Figure, stages that do not arise when input symptoms are categorical appear when some imprecision is allowed.  Additionally, the symptoms that before arose categorically, with output precision of 1.0, now have lower ones\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "![image.png](attachment:image.png)"
    ]
   }
  ],