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prediction.php
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<!DOCTYPE html>
<html>
<head>
<title>Prediction result - PulmoPred</title>
<link rel = "stylesheet" type = "text/css" href = "css/main.css" />
<script type = "text/javascript" src = "js/main.js"></script>
<!-- <script type = "text/javascript" src = "js/plot.js"></script> -->
<!-- <script src="http://ajax.googleapis.com/ajax/libs/jquery/1.7.1/jquery.min.js" type="text/javascript"></script> -->
<!-- <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery-csv/1.0.8/jquery.csv.min.js"></script> -->
<!-- <script type = "text/javascript" src = "https://cdn.plot.ly/plotly-latest.min.js"></script> -->
</head>
<body>
<div class = "section_header">
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<div class = "section_menu">
<center/>
<table>
<tr class="nav">
<td class="nav"><a href="#" class="active">Home</a></td>
<td><a href="about.html" class="side_nav">About</a></td>
<td><a href="help.html" class="side_nav">Help</a></td>
<td><a href="datasets.php?type=train" class="side_nav">Datasets</a></td>
<td class="nav"><a href="team.html" class="side_nav">Team</a></td>
</tr>
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</div>
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<div class = "section_middle">
<?php
if(array_key_exists("query", $_POST) && $_POST["query"] == "1")
{
// $params = array();
// $params["fev1_pre_value"] = $_POST["fev1_pre_value"];
// $params["fev1_pre_percent"] = $_POST["fev1_pre_percent"];
$arg_json = json_encode($_POST);
// echo $arg_json;
$command = "venv/bin/python -m python.driver '".$arg_json."' 2>&1";
// echo "<pre>".$command."</pre>\n";
exec($command, $out, $status);
$result = json_decode($out[0]);
// print_r($result);
?>
<center><h2>Input</h2></center>
<table class = "form" cellpadding="5px" id = "stable">
<tr>
<th rowspan = "2">Measurements</th>
<th colspan = "2">Pre-bronchodilator</th>
<th colspan = "2">Post-bronchodilator</th>
</tr>
<tr>
<th>Value</th>
<th>Pred %</th>
<th>Value</th>
<th>Pred %</th>
</tr>
<tr>
<td><center>FEV1 - Forced Expiratory Volume</center></td>
<td><center><?php echo $_POST["fev1_pre_value"]; ?></center></td>
<td><center><?php echo $_POST["fev1_pre_percent"]; ?></center></td>
<td><center><?php echo $_POST["fev1_post_value"]; ?></center></td>
<td><center><?php echo $_POST["fev1_post_percent"]; ?></center></td>
</tr>
<tr>
<td><center>FVC - Forced Vital Capacity</center></td>
<td><center><?php echo $_POST["fvc_pre_value"]; ?></center></td>
<td><center><?php echo $_POST["fvc_pre_percent"]; ?></center></td>
<td><center><?php echo $_POST["fvc_post_value"]; ?></center></td>
<td><center><?php echo $_POST["fvc_post_percent"]; ?></center></td>
</tr>
<tr>
<td><center>FEF 25-75% - Forced Expiratory Flow</center></td>
<td><center><?php echo $_POST["fef_pre_value"]; ?></center></td>
<td><center><?php echo $_POST["fef_pre_percent"]; ?></center></td>
<td><center><?php echo $_POST["fef_post_value"]; ?></center></td>
<td><center><?php echo $_POST["fef_post_percent"]; ?></center></td>
</tr>
</table><br/>
<center><a href="index.html"><input type="button" value="Check again" /></a></center>
<center><h2>Result</h2></center>
<table class = "form" border = "0" cellpadding="5px" id = "rtable">
<tr>
<th>Classifiers</th>
<th>Predicted class</th>
<th>Probability</th>
</tr>
<?php
$n_models = count($result->labels);
$pos_proba = 0.0;
$pos_text = "";
$neg_proba = 0.0;
$neg_text = "";
for($i=0; $i<$n_models; ++$i) {
$curr_proba = round(floatval($result->probas[$i]), 3);
echo "<tr>";
echo "<td><center><b>Classifier ".$i."</b></center></td>";
if($result->labels[$i] == 0) {
echo "<td><center>Non-obstructive</center></td>";
$pos_proba = $pos_proba + (1.0 - $curr_proba);
$pos_text = $pos_text . "(1-" . $curr_proba . ")";
$neg_text = $neg_text . $curr_proba;
} else {
echo "<td><center>Obstructive</center></td>";
$pos_proba = $pos_proba + $curr_proba;
$pos_text = $pos_text . $curr_proba;
$neg_text = $neg_text . "(1-" . $curr_proba . ")";
}
echo "<td><center>".$curr_proba."</center></td>";
echo "</tr>";
if($i < $n_models - 1) {
$pos_text = $pos_text . " + ";
$neg_text = $neg_text . " + ";
}
}
$pos_proba = round($pos_proba / 6, 3);
$neg_proba = round((1-$pos_proba), 3);
// echo $pos_proba." ".$neg_proba;
?>
</table>
<br/>
<table class = "form" border = "0" cellpadding="5px" id = "rtable" style="text-align:center;">
<tr>
<th>Class</th>
<th>Total probability calculation</th>
<th>Final prediction</th>
</tr>
<tr>
<td>Obstructive</td>
<td class="expression"><?php echo "(".$pos_text.") / 6 = <b>".$pos_proba."</b>"; ?></td>
<td rowspan="2">
<?php
if($pos_proba > $neg_proba)
echo "<b>Obstructive</b><br/>Probability = <b>".$pos_proba."</b>";
else
echo "<b>Non-obstructive</b><br/>Probability = <b>".$neg_proba."</b>";
?>
</td>
</tr>
<tr>
<td>Non-obstructive</td>
<td class="expression"><?php echo "(".$neg_text.") / 6 = <b>".$neg_proba."</b>"; ?></td>
</tr>
</table>
<?php
// echo "<br/><div>";
// echo count($out)."<br/>";
// for($i=0;$i<count($out);++$i)
// echo $out[$i]."<br/>";
// echo $status;
// echo "</div>";
}
?>
<br/><hr/>
<p style="font-size:0.8em;text-align:center;">
Bhattacharjee S. <i>et al.</i>, <i>J Comput Sci</i> (2022), 63:101768. <i>doi:</i>
<a href="https://doi.org/10.1016/j.jocs.2022.101768" target="_blank">10.1016/j.jocs.2022.101768</a>.
Please contact Dr. Sudipto Saha (<a href="mailto:[email protected]">[email protected]</a>)
regarding any further queries.
</p>
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